Topic and Trend Analysis of Weibo Discussions About COVID-19 Medications Before and After China's Exit from the Zero-COVID Policy: Retrospective Infoveillance Study.

BACKGROUND: After 3 years of its zero-COVID policy, China lifted its stringent pandemic control measures with the announcement of the 10 new measures on December 7, 2022. Existing estimates suggest 90%-97% of the total population was infected during December. This change created a massive demand for COVID-19 medications and treatments, either modern medicines or traditional Chinese medicine (TCM). OBJECTIVE: This study aimed to explore (1) how China's exit from the zero-COVID policy impacted media and the public's attention to COVID-19 medications; (2) how social COVID-19 medication discussions were related to existing model estimates of daily cases during that period; (3) what the diversified themes and topics were and how they changed and developed from November 1 to December 31, 2022; and (4) which topics about COVID-19 medications were focused on by mainstream and self-media accounts during the exit. The answers to these questions could help us better understand the consequences of exit strategies and explore the utilities of Sina Weibo data for future infoveillance studies. METHODS: Using a scrapper for data retrieval and the structural topic modeling (STM) algorithm for analysis, this study built 3 topic models (all data, before a policy change, and after a policy change) of relevant discussions on the Chinese social media platform Weibo. We compared topic distributions against existing estimates of daily cases and between models before and after the change. We also compared proportions of weibos published by mainstream versus self-media accounts over time on different topics. RESULTS: We found that Weibo discussions shifted sharply from concerns of social risks (case tracking, governmental regulations, etc) to those of personal risks (symptoms, purchases, etc) surrounding COVID-19 infection after the exit from the zero-COVID policy. Weibo topics of "symptom sharing" and "purchase and shortage" of modern medicines correlated more strongly with existing susceptible-exposed-infected-recovered (SEIR) model estimates compared to "TCM formulae" and other topics. During the exit, mainstream accounts showed efforts to specifically engage in topics related to worldwide pandemic control policy comparison and regulations about import and reimbursement of medications. CONCLUSIONS: The exit from the zero-COVID policy in China was accompanied by a sudden increase in social media discussions about COVID-19 medications, the demand for which substantially increased after the exit. A large proportion of Weibo discussions were emotional and expressed increased risk concerns over medication shortage, unavailability, and delay in delivery. Topic keywords showed that self-medication was sometimes practiced alone or with unprofessional help from others, while mainstream accounts also tried to provide certain medication instructions. Of the 16 topics identified in all 3 STM models, only "symptom sharing" and "purchase and shortage" showed a considerable correlation with SEIR model estimates of daily cases. Future studies could consider topic exploration before conducting predictive infoveillance analysis, even with narrowly defined search criteria with Weibo data.

Knowledge and perception of COVID-19 and its treatment. A community-based survey in South Nigeria.

Background: Media channels increased COVID-19 pandemic uncertainty and disputes, hindering dissemination and acceptance of evidence-based health information. Socioeconomic, cultural, and developmental factors affect a community's access to credible health information. This community-based study aims to assess semi-urban residents' understanding of COVID-19. Methods: This was a cross-sectional study of 384 multistage-sampled residents of the study site. Sociodemographic, psychographic, and COVID-19 and treatment knowledge were obtained using a semistructured questionnaire. Six questions were used to measure knowledge, which was deemed adequate (three or more correct answers) or inadequate (fewer than three correct responses). Results: 54 out of 364 responders (14.8%) knew COVID-19. 68.9% of respondents stated citrus fruits or spices, 46.1% mentioned infection safety, and 13.3% mentioned chloroquine for prevention. Regarding treatment, 55.5% of responders reported chloroquine and 20.9% hydroxychloroquine. 17% chose "none of the above." Class I workers were four times more likely to have adequate knowledge than class V workers (p=0.019), while class III workers were 79% less likely (p=0.046). Males had 68%less knowledge than females (p=0.008). Conclusions: In this study, adequate knowledge of COVID-19 was low and associated with higher socioeconomic class.

Neuropsychiatric manifestation of the drugs used in the treatment of SARS-2-CoV-2019 (COVID-19) infection and their management: An overview and practice implications.

Treatment guidelines for the COVID-19 treatment are still evolving, moreover, the changing variants of the virus with varying virulence, pose challenges for the healthcare professionals (HCP) not only in managing the primary infection but also a myriad of physical and neuropsychiatric complications. The neuropsychiatric adverse consequences associated with the COVID-19 are attributable to the direct effect of the virus, secondary complications, drug-drug interaction, and neuropsychiatric manifestations of drugs used in its treatment. These neuropsychiatric manifestations not only complicate the ongoing treatment but also adversely affect the prognosis. As the treatment guidelines for the management of the COVID are still evolving, the use of non-evidence-based medications, including their off-label use, are rampant that often extend to their non-judicious or irrational use (more than the recommended dose, multiple medications, etc.). Despite the significance of the topic, literature is sparse. Knowing about the risk factors and the potential neuropsychiatric adverse effects with various anti-COVID-19 medications would help HCPs in effectively preventing, early identifying, and promptly managing these neuropsychiatric symptoms. Therefore, this narrative review is aimed to highlight the neuropsychiatric symptoms associated with medications/interventions used in the management of COVID-19 and how to manage them, especially in view of the world facing the third wave of COVID-19.